Mathematical Modeling
Vol. 3 (2019), Issue 4, pg(s) 113-116

MATHEMATICAL MODELLING OF TECHNOLOGICAL PROCESSES AND SYSTEMS

MULTIPARAMETER HYBRID NEURAL NETWORK METAMODEL OF EDDY CURRENT PROBES WITH VOLUMETRIC STRUCTURE OF EXCITATION SYSTEM

  • 1 Faculty of Electronic Technologies and Robotics – Cherkasy State Technological University, Ukraine

Abstract

A multiparameter metamodel of the eddy current probe with the volumetric excitation structure is constructed. As variable parameters of the metamodel, the spatial coordinates of the testing zone, the radii of the excitation coils and the height of their location above the testing object were used. Due to the use of hybrid construction of multiple neural networks using decomposition of the search space, an acceptable metamodel’s error of the eddy current probe with volumetric excitation structure is obtained.

Keywords

References

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